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RESEARCH PAPER · Chemical Reviews · 2024

Machine Learning Aided Design and Optimization of Thermal Metamaterials

Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, Guimei Zhu, Baowen Li

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Machine Learning Aided Design and Optimization of Thermal MetamaterialsOriginalMachine learning aided understanding and manipulating thermal transport in amorphous networks13A cyclical route linking fundamental mechanism and AI algorithm: An example from tuning Poisson's ratio in amorphous networks13Free-form and multi-physical metamaterials with forward conformality-assisted tracing30Metamaterials based on solid composites enable continuous and tunable thermal conductivity anisotropy for thermal management applications9Machine learning modeling of thermally assisted biodrying process for municipal sludge10Topological thermal transport56Chemometrics-assisted functionalization of boronic acid-derived supramolecules1Thermal Metamaterials with Configurable Mechanical Properties15Thermal concentrating efficiency enhanced for multilayer circular thermal concentrators with gradient structures3Thermal interface materials: From fundamental research to applications222Nested deep transfer learning for modeling of multilayer thin films18Machine learning for thermal transport13Radiative cooling technology with artificial intelligence27Metasurface-Based Image Classification Using Diffractive Deep Neural Network5Research advances in heat transfer regulation based on thermal metamaterials0Deep reinforcement learning for radiative heat transfer optimization problems4A lattice-mechanical metamaterial with tunable two-step deformation, tunable stiffness, tunable energy absorption and programmable properties7Advances in artificial intelligence for artificial metamaterials31Regulation of thermal transport by cycle structures in complex networks1Feature analysis aided design of lightweight heat sink from network structures9Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement9Advances in Porous Materials for Transuranic Element Separation5An explainable “family bucket” model for simultaneous prediction of K-edge XANES for multiple light transition metals3Data-Driven Multi-Objective Inverse Design of Bcc Lattice Metamaterials with Tunable Weight Vectors0Inaugural Editorial of Thermo-X0Machine learning design of spectral-selective infrared metasurfaces based on Conway patterns1MACHINE LEARNING IN NANOSCALE THERMAL TRANSPORT2Machine-learning-empowered FDTD/FEM simulations for predictive solar energy absorption in plasmonic metamaterial nanocavity arrays10Optical Metamaterials and Artificial Intelligence in Aerospace Sensing0Inverse Design of AlGaN/GaN HEMT RF Device with Source Connected Field Plate2Application of machine learning in polyimide structure design and property regulation5Accurately Models the Relationship Between Physical Response and Structure Using Kolmogorov–Arnold Network10Density-based topology optimization for ITR-free thermal cloaks18Applications of machine learning in surfaces and interfaces30Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization6Accurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential25Convolutional neural network-assisted design and validation of terahertz metamaterial sensor10Advancements in transesterification of waste cooking oil to biodiesel using rare earth metal oxide catalysts: A bibliometric analysis and future prospects12Inverse design of multistable kirigami metamaterial via geometry-enabled shape programming and transforming10A comprehensive review of radiative cooling technologies and their integration with Photovoltaic (PV) systems: Challenges, opportunities, and future directions37Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution7Bi-directional homogenization design of well-connected freeform thermal metamaterials8Colorimetric Visualization of Chirality: From Molecular Sensors to Hierarchical Extension4Effect of material properties on the thermal responses of the carbonization and pyrolysis layers of polymer matrix composites for charring-ablators3Giant Shear-vertical Wave Bandgaps Induced by Diffuse Domain-walls in Ferroelectrics6Tuning phonon transport via complex nanostructure design using an X+EA hybrid optimization strategy0A quasi-zero-stiffness metastructure for concurrent low-frequency vibration attenuation and energy harvesting32Applications of density functional theory and machine learning in nanomaterials: A review51Machine Learning Enhanced Self‐Charging Power Sources21Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials68Biomimetic Intelligent Thermal Management Materials: From Nature‐Inspired Design to Machine‐Learning‐Driven Discovery50Achieving Auxetic Metamaterials through Variations in the Reciprocal Space Topology of the Triangular Lattice1Machine learning-driven optimization of locally resonant metamaterials for simultaneous vibration control and effective triboelectric sensing9Emerging Trends in Thermo-Optic and Electro-Optic Materials for Tunable Photonic Devices28Inverse design of NiTi alloy-based chiral metamaterials with multi-level rotational capabilities for reusable high-performance impact absorption12Interpretable Machine Learning Analysis of Design Factors in Hydrogel Supercapacitors11Ultrabroadband and band-selective thermal meta-emitters by machine learning91Heat Diffusion Invariant11Interpretable Prediction and Analysis of PVA Hydrogel Mechanical Behavior Using Machine Learning13Unveiling the Impact of Air Pollution on Outdoor Training for Endurance and Explosive Power0Inverse design of mechanical metamaterials balancing manufacturability and compactness: A case study on lattice cells6Kolmogorov-Arnold networks-optimized honeycomb acoustic metamaterials for railway noise control27Bio-inspired acoustic metamaterials for traffic noise control: bridging the gap with machine learning15From Formability to Bandgap: Machine Learning Accelerates the Discovery and Application of Perovskite Materials28Controlling transient and coupled diffusion with pseudoconformal mapping8Liquid metal enabled thermal switch for active thermal management22Topology in Thermal, Particle, and Plasma Diffusion Metamaterials25Machine Learning-Based Prediction of Reflection Coefficients for Multilayer Electromagnetic Absorbers2Generative Artificial Intelligence Navigated Development of Solvents for Next Generation High‐Performance Magnesium Batteries17Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search3Pseudoconformal Thermal Metamaterials Enabled by Thickness Engineering in a Single Material2Spinodal metamaterials optimization based on genetic algorithm: Controlling mechanical anisotropy via dimensionless Cahn-Hilliard equation7Full polarization and high coherence control of thermal emissions via saddle-band dispersion engineering20Machine learning-integrated lateral flow assays: Unlocking the future of intelligent point-of-care sensing21Application of machine learning in the study of heavy metal remediation in soil using biochar-based nanocomposites6Recent advances in the thermal management performance of polymer-based composite materials22AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration27Emerging group-VA 2D materials: Antimonene and bismuthene for nanoelectronics and energy storage43Design optimisation of purge flow path in axial aero gas turbine engines using machine learning algorithm3Artificial intelligence in heat and mass transfer in chemical engineering processes0From performance to structure: a comprehensive survey of advanced metasurface design for next-generation imaging20Design of metal-coordinated hypergolic materials: recent advances and perspectives5Thermal properties of 3D-printed biomedical prototypes0Topology optimization in flexible electrical heaters: status and perspective4Beyond Conventional Cooling: Advanced Micro/Nanostructures for Managing Extreme Heat Flux22Leveraging AI Innovation in Nanomaterials, Synthesis, Characterization, and Device Design0Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials6Dual-function convective sensor in porous media0State of the art challenges and prospects of advanced materials in radiation detection for nuclear energy: a review13A New Pulsed Neutron-Gamma Density Logging Method Based on Gamma-Ray Spectra and Machine Learning0Machine learning-aided design of adapted water treatment adsorbents: Advances, challenges, and opportunities10Tailoring Energy Absorption of Curved-Beam Lattices Through a Data-Driven Approach3Thin Films for Next Generation Technologies: A Comprehensive Review of Fundamentals, Growth, Deposition Strategies, Applications, and Emerging Frontiers52AI-Integrated Micro/Nanorobots for Biomedical Applications: Recent Advances in Design, Fabrication, and Functions27Machine-learning-assisted finite-element optimization of temperature uniformity in a vertical annealing furnace for silicon wafers3Quasi-honeycomb graphene architectures enabling geometry-adaptive thermal regulation for high-density electronics0Temporal anti-parity–time symmetry in diffusive transport12Progress in constitutive modeling of arterial wall tissue mechanics: from theoretical frameworks to clinical application0Integrated design of chiral re-entrant honeycombs with multifunctional mechanical properties13A hybrid method based on particle swarm optimization and machine learning algorithm for predicting droplet diameter in a microfluidic T-junction0A review on the auxetic materials and their applications in biomedical engineering0Application of Metaheuristic Optimisation Methods to the Design of Guided‐Mode Resonance Filters: A Comparative Study0Artificial intelligence in fluid mechanics and thermal engineering0Artificial intelligence-enabled metasurface design: a functional perspective0Battery Management Systems: integration and optimization in automotive applications0Broadband solar absorber and high-temperature thermal emitter based on deep-learning optimization and design2Coherent phonon transport and Anderson localization in low-dimensional materials0Convolutional neural network-accelerated thermal field inversion0Deep-learning-based multilayer nano-film structure reverse design for efficient passive radiative cooling15Designing Oxide Fillers for Advanced Thermal Interface Materials: Recent Progress and Future Perspectives10Enhanced phonon scattering in staggered-pore silicon metamaterials: A non-equilibrium molecular dynamics study0Flash Joule heating towards carbon-based electrode materials: a review and roadmap0Hyperentanglement-empowered intelligent quantum optics0Machine learning based performance prediction of sustainable microwave absorbers0Research progress of thermally conductive polymers0Thermal properties of rationally-designed cellular metamaterials0Review of Progress in Polymer‐Based Interfacial Thermal Management Composites11Tunable plasmonic absorption in metal–dielectric multilayers via FDTD simulations and an explainable machine learning approach4Recent advances in machine learning for advanced building envelopes: From prediction to optimisation3A comprehensive review on development of thermal metamaterials1Unstructured diffusion generative design of metamaterials for irregular design domains1Tensorized Quantum Genetic Algorithm With Selective Evolution Strategy for Thin‐Film Optical Inverse Problems0Decoding the multidimensional structure–property relationships in base oils: A synergistic approach bridging molecular topology, thermal transport, and dielectric behavior0Metamaterials and their applications in engineering metamaterials: classification, applications - a comprehensive review4AI-driven nanomedicine for cancer theranostics30Invisible Hydrodynamic Sensing via Metamaterial Shells Optimized by Machine Learning8Material Discovery, Renewable Energy, and the Scope of Shallow Learning and Deep Learning1AI-driven multi-property prediction and manufacturability-aware design for electronic materials and devices0Multi-Objective Spray Drying Process Optimization via BBD-ANN-AGWO Framework: Case of Andrographolide Amorphous Solid Dispersions3Development of an Edge-AI Weather Forecasting and Visualization Framework for Intelligent Climate Simulation Control0Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning0Artificial Intelligence-Driven Materials Design for Next-Generation Sustainable Energy Technologies15Leveraging explainable AI in the design of carbon composites with high thermal conductivity for thermal management1Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review3Bose–Einstein Phonon Statistics Explain Drastic Thermal Conductivity Reduction in SWCNT Bundles2Anisotropic thermo-hydrodynamic transport control in a confocal elliptical domain1Dual-site single-atom catalysts achieve directional adsorption-oxidation control for enhanced photo-Fenton-like reactions16Inverse design mechanical metamaterials with dual load-bearing and heat-transfer capabilities1Design, properties and applications of additively-manufactured functional hierarchical structure5Unlocking anode-free battery performance: AI-enhanced electron microscopy for deciphering layered cathode interfaces0Variable-Condition Operational Optimization of Oil and Gas Gathering Systems Considering Renewable Energy Accommodation: A Comprehensive Review and Future Perspectives0Physics-informed active learning for the design of thermally conductive composite microstructures with controlled anisotropy0Advances in personalised wearable heating and cooling technologies2Machine learning assisted quantitative color analysis of aged polymeric electrical insulation materials as a non-destructive method to evaluate embrittlement0Machine learning assisted prediction of the compressive response of porous metallic bio-metamaterials2Small-sample efficient inverse design of anti-reflection micro-nano optical structures: a Bayesian optimization-tuned extreme random trees framework0Bioinspired Non‐Embrittling Phase‐Inverted Oil‐in‐Liquid Metal Thermal Grease as a High‐Performance Thermal Interface Material1A precise conductivity manipulation method in designing thermal metamaterials0Deep Learning for Data-Driven Metamaterial Design Optimization0High-dimensional design of kirigami patches metamaterials using physics-based machine learning with uncertainty quantification0

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